{"id":"https://openalex.org/W4389104838","doi":"https://doi.org/10.1109/tgrs.2023.3336314","title":"A Local Temperature Unmixing-Based Fusion Model for Land Surface Temperature Spatiotemporal Enhancement","display_name":"A Local Temperature Unmixing-Based Fusion Model for Land Surface Temperature Spatiotemporal Enhancement","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104838","doi":"https://doi.org/10.1109/tgrs.2023.3336314"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3336314","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3336314","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426849","display_name":"Haiping Xia","orcid":"https://orcid.org/0009-0008-2396-1038"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiping Xia","raw_affiliation_strings":["Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, China","Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University and the Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]},{"raw_affiliation_string":"Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University and the Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716311","display_name":"Yunhao Chen","orcid":"https://orcid.org/0000-0001-7926-7303"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Chen","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020032935","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0002-0155-6735"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341636","display_name":"Ben Wang","orcid":"https://orcid.org/0000-0002-5341-1642"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Wang","raw_affiliation_strings":["Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, China","Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University and the Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]},{"raw_affiliation_string":"Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University and the Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101426849"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15141029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6573740839958191},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6272571086883545},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5770108103752136},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.5394334197044373},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5114647150039673},{"id":"https://openalex.org/keywords/vnir","display_name":"VNIR","score":0.48205360770225525},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.4776652753353119},{"id":"https://openalex.org/keywords/inverse-distance-weighting","display_name":"Inverse distance weighting","score":0.47725293040275574},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4657398462295532},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.45869818329811096},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.42693349719047546},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39313313364982605},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.3153458833694458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30052465200424194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19571325182914734},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14121434092521667},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.1380985975265503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11232984066009521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10915833711624146},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.09159094095230103},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08651179075241089}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6573740839958191},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6272571086883545},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5770108103752136},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.5394334197044373},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5114647150039673},{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.48205360770225525},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.4776652753353119},{"id":"https://openalex.org/C47872207","wikidata":"https://www.wikidata.org/wiki/Q1430701","display_name":"Inverse distance weighting","level":4,"score":0.47725293040275574},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4657398462295532},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.45869818329811096},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.42693349719047546},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39313313364982605},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3153458833694458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30052465200424194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19571325182914734},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14121434092521667},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.1380985975265503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11232984066009521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10915833711624146},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.09159094095230103},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08651179075241089},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3336314","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3336314","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2262301585","display_name":null,"funder_award_id":"42301370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6542927114","display_name":null,"funder_award_id":"72171128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8359821036","display_name":null,"funder_award_id":"2022YFF1303401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G967177310","display_name":null,"funder_award_id":"42090012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1588434184","https://openalex.org/W1840202565","https://openalex.org/W1970515153","https://openalex.org/W1972129788","https://openalex.org/W1973749534","https://openalex.org/W1982956952","https://openalex.org/W1987927366","https://openalex.org/W1991868762","https://openalex.org/W2003224325","https://openalex.org/W2003938839","https://openalex.org/W2005921171","https://openalex.org/W2011195592","https://openalex.org/W2012188213","https://openalex.org/W2013140666","https://openalex.org/W2013792783","https://openalex.org/W2014630223","https://openalex.org/W2022555621","https://openalex.org/W2023306858","https://openalex.org/W2031596845","https://openalex.org/W2040638734","https://openalex.org/W2055007440","https://openalex.org/W2056811372","https://openalex.org/W2061929982","https://openalex.org/W2067542652","https://openalex.org/W2068274991","https://openalex.org/W2082263501","https://openalex.org/W2088603520","https://openalex.org/W2096885759","https://openalex.org/W2110303631","https://openalex.org/W2124073857","https://openalex.org/W2161241309","https://openalex.org/W2169131344","https://openalex.org/W2200350976","https://openalex.org/W2290137763","https://openalex.org/W2301692565","https://openalex.org/W2480184802","https://openalex.org/W2508554143","https://openalex.org/W2514340250","https://openalex.org/W2534411035","https://openalex.org/W2549340854","https://openalex.org/W2552447511","https://openalex.org/W2609446845","https://openalex.org/W2750595772","https://openalex.org/W2754974672","https://openalex.org/W2774052553","https://openalex.org/W2792478479","https://openalex.org/W2794423204","https://openalex.org/W2795018073","https://openalex.org/W2803806297","https://openalex.org/W2888916943","https://openalex.org/W2889506869","https://openalex.org/W2915231377","https://openalex.org/W2920866345","https://openalex.org/W2974432251","https://openalex.org/W2981854972","https://openalex.org/W2990083984","https://openalex.org/W3000483774","https://openalex.org/W3004446657","https://openalex.org/W3034422010","https://openalex.org/W3046627995","https://openalex.org/W3047166575","https://openalex.org/W3083283711","https://openalex.org/W3102533665","https://openalex.org/W3131722103","https://openalex.org/W3153621657","https://openalex.org/W3168795157","https://openalex.org/W3211637358","https://openalex.org/W4210492004","https://openalex.org/W4213425069","https://openalex.org/W4220863097","https://openalex.org/W4220986393","https://openalex.org/W4226441847","https://openalex.org/W4285256423","https://openalex.org/W4313888889"],"related_works":["https://openalex.org/W3144754139","https://openalex.org/W1849857383","https://openalex.org/W2037607410","https://openalex.org/W2984104979","https://openalex.org/W2905518819","https://openalex.org/W4211230453","https://openalex.org/W4307882460","https://openalex.org/W2010235570","https://openalex.org/W2056533674","https://openalex.org/W2725495055"],"abstract_inverted_index":{"Spatiotemporal":[0],"fusion":[1,16,53,133],"algorithms":[2],"have":[3,18],"the":[4,137,144,175,210,226,229],"ability":[5],"to":[6,27,39,70,126,131,157,162,214,231],"obtain":[7,71,127],"high-resolution":[8,72,128],"land":[9,147],"surface":[10],"temperature":[11,51,88,176,241],"(LST).":[12],"However,":[13],"most":[14],"existing":[15,132],"methods":[17],"difficulty":[19],"obtaining":[20],"LSTs":[21,40,60,156,198,235],"with":[22,41,61,183,203,220,239],"a":[23,49,86,105,158],"high":[24,159],"resolution":[25,160],"corresponding":[26,161],"that":[28,163,225],"of":[29,146,164],"visible":[30],"and":[31,35,67,117,167,186,189,206],"near-infrared":[32],"(VNIR)":[33],"data":[34,185,188],"cannot":[36],"adapt":[37],"well":[38],"complex":[42,62],"nonlinear":[43],"changes.":[44,242],"Hence,":[45],"this":[46],"study":[47],"proposes":[48],"local":[50],"unmixing-based":[52],"model":[54,90,109],"(LTUBFM),":[55],"which":[56],"is":[57,170,181],"designed":[58],"for":[59],"variations":[63],"at":[64],"both":[65],"spatial":[66],"temporal":[68],"scales,":[69],"LSTs.":[73,129],"The":[74,179],"LTUBFM":[75,135,180,208,227],"contains":[76],"three":[77],"parts.":[78],"First,":[79],"component":[80,96,115],"temperatures":[81,97,116],"are":[82,98,111],"estimated":[83],"based":[84],"on":[85,150],"linear":[87],"mixing":[89],"(LTMM)":[91],"from":[92,113,236],"low-resolution":[93],"images.":[94],"Second,":[95],"redistributed":[99,114],"by":[100,212],"neighboring":[101],"similar":[102],"pixels":[103],"via":[104],"weighted":[106],"function.":[107],"Finally,":[108],"residuals":[110],"derived":[112],"interpolated":[118],"using":[119],"an":[120],"inverse":[121],"distance":[122],"weighting":[123],"(IDW)":[124],"interpolator":[125],"Compared":[130,202],"algorithms,":[134],"has":[136,228],"following":[138],"strengths:":[139],"1)":[140],"it":[141,153,169],"can":[142,154],"weaken":[143],"effect":[145],"cover":[148],"change":[149],"LST;":[151],"2)":[152],"fuse":[155],"VNIR":[165],"data;":[166],"3)":[168],"strongly":[171],"robust":[172],"even":[173],"when":[174],"changes":[177],"greatly.":[178],"tested":[182],"simulated":[184],"satellite":[187],"fuses":[190],"1000":[191],"m-resolution":[192],"Moderate":[193],"Resolution":[194],"Imaging":[195],"Spectroradiometer":[196],"(MODIS)":[197],"into":[199],"30":[200],"m.":[201],"STARFM,":[204],"ESTARFM,":[205],"SPSTFM,":[207],"reduces":[209],"RMSE":[211],"up":[213],"3.5":[215],"K":[216],"in":[217],"areas":[218],"covered":[219],"vegetation.":[221],"These":[222],"results":[223],"indicate":[224],"potential":[230],"generate":[232],"satisfying":[233],"high-spatiotemporal-resolution":[234],"multisource":[237],"datasets":[238],"large":[240]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
